Tag: A/B testing

A/B Split testing for email campaigns is now like an old fish in the pond of email marketing. Email Marketers often ponder about effectiveness of A/B Split Testing and confront some tough questions. Have we really achieved the targeted ROI? Is Split testing really about being a winner and a contender? Have we lost some prospects by choosing to be a winner? Is being a contender a good choice at all?

A/B Split testing is about the competition between Hulk and Batman on two different tracks. So how it would be if we can create a ‘Hulkman’ that embraces the power of both? Nice! Yeah it would be wonderful.
In traditional A/B split testing, we compare the opens or clicks or both and the best performing subject line of Email gets deployed to rest of the consumers. But we wanted to make a third campaign with each best part of both campaigns so we came up with Image Optimizer.
Image Optimizer is a lab where we can create Hulkman. But How?

Image Optimizer optimizes the images used for campaigns based upon CPM. Let’s consider a scenario where, in case of A/B Split testing, the open rate is high for Hulk because of subject line and click rate is high for two images but rest of the images are rarely clicked; whereas in case of Batman, the email is losing because of the subject line and two images could not get much clicks but rest of the images are getting better clicks than Hulk. In this scenario A/B split testing will not send the right campaign to consumers. So, Image Optimizer will optimize all the images for Hulk and Batman and for final campaign optimized images will get served as Hulkman. Eventually, the final outcome will be a high performing Email with a catchy Subject Line and popular contents as demonstrated by the unique feature of Image Optimizer.